Jobs for Data Science , Data analyst , BI

Technology is changing every day and Bangkok Bank is determined to be at the forefront of these changes. Millions of customers use our multi award willing mBanking product on a daily basis. This is just the start - we are aggressively using technology to delight our customers in all segments.

Come and join us as we exploit the latest technologies to serve our huge customer and our unique position as the premier Thai bank with a unique presence across the AEC

Job Description:

• Designs experiments, test hypotheses, and build models.
• Conducts advanced data analysis and complex designs algorithm.
• Identifies what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as sensor data, geo-location or social media.
• Identifies/creates the appropriate algorithm to solve analytics problem or discover patterns.

Qualification and Required Skill:

• Master/Doctoral Degree in IT/ Engineer/Computer Science or related fields.
• Excellent understanding of machine learning techniques and algorithms such as SVM and deep learning.
• Experience with NoSQL databases, such as MongoDB, HBase, Neo4j.
• Good scripting and programming skills such as Java, python or C++.
• Strong communication and interpersonal skills.
• Proficiency in using query languages such as SQL, Hive, Pig or Cypher is a plus.
• Excellent understanding of Natural Language Processing is a plus

** Research publications are required

Working Location: Operating at Silom Head office, Bangkok

If you require more information, please contact K. Patuporn or K. Siriporn  Tel: 0-2296 – 8170,  

0-2685 – 7853 

Job Summary

Our Data Scientist needs to work on a wide scope of data including internal and external data for visualization, analysis and modeling. Under the environment of our big data, you will have the real opportunity to work on Machine Learning and Deep Learning. By providing you the best data tools, we also feed the best retail and financial data to ensure your success.

Responsibilities

Data Analysis

• Understand existing data source and database structure thoroughly
• Gain good business knowledge of relationships between data flow and operation flow
• Think creatively to generate relevant data features
• Scope and prepare dynamic observation window data set for modeling

Data Modeling

• Structure business problems and design modeling solution
• Develop quantitative models for estimation, prediction or optimisation purposes
• Build segmentations for customer understanding, strategy plan or marketing targeting
• Train models with supervised and unsupervised machine learning algorithms.
• Design and automate close-loop A/B test and model retrain process
• Measure and monitor model performance,
• Manage model life cycle and keep shortening model development cycle

Data Visualisation

• Create data report or performance report
• Build dashboard for easier and better data communication
• Present analysis or modeling insight

Qualification:

Essential skills: 

• Minimum of 5 years data analytics related working experiences
• Major in mathematics, statistics, computer science, engineering or any other data science related majors
• Proficient in SQL and Python/R/Spark
• Successfully design and development of data modeling for business usages
• Ability to explain and present advanced statistical methods using non-technical language
• Strong observation skills, verbal and communication skills
• Hands on experiences using visual analytics tool such as Tableau or PowerBI
• Proficient in English

Essential attributes:

• Business oriented
• Start-up working spirit 
• Data-driven
• Willingness to learn, be open minded to new ideas and different opinions

           Please note that we will get in touch with shortlisted candidates only.

Job Description:

- Develop analytical model to predict/forecast customer behaviors to meet business requirements and drive business growth.

- Identify and findings business opportunities from big data via data analytic method.

- Advise and recommend about data insights to business users.

- Develop Machine learning, Deep learning and AI algorithm to solve business case or problem.

- Communicate and provide solution to management level via data visualizations, presentations.

- Supervise and recommend vendors practices & performance align with policy and standard.

Job Specification:

- Bachelor Degree or above in Computer Science, Computer Engineering, Information Technology, MIS, Statistics or related field.

- At least 3 years’ experience in Big data, data analytic or related field.

- Knowledge in Big data tools/technologies.

- Knowledge in data visualization.

- Skills in computer language (SQL, R, Python), Big data technologies (Hadoop, Spark)

- Knowledge in retail business is a plus.

- Excellent problem solving and analytical skill, planning and organizing skill, and customer oriented.

- Can work under pressure, strong communication & negotiation skill, self-learning, self-motivate.

- Strong/Excellent in English skills (Listening, Speaking, Reading, Writing)

One of the reputable Pharmaceutical company in PReMA group are seeking a highly self motivated and market driven Data Scientist who specializes has experience in data management projects which involve scientific programming, model building, and analysis.

Responsibilities

• Collaborating with the internal stakeholders to understand business and set the derection of business goal
• Collaborate with regional company resources to operate and deliver on key projects
• Be the part of a project team provide end-to-end delivery of small to large projects individually, within timelines and budget
• Defining detailed methodology and scope, creating and operating on framework with suitable data mining techniques
• Extract operational insights from the data and generate results that clearly communicate the findings a nad recommendations
• Active search for new innovation through the use of non-traditional data and new modeling techniques
• Oversee deployment and implementation of analytical approaches and track the effect of business value
• Develop business-related strategies and recommendations for testing and monitoring analytical model performance

Qualifications

• Minimum 3 to 7 years of analytical experience in applying statistical approaches to business problems
• Experiencing with one or more data analytics/programming tools like SAS, Saleforce SPM, Hadoop, R, SQL, Python, Hive
• Demonstrated experience in the planning, organizing, and management of multiple analytical projects with various cross-functional stakeholders
• Proficiency in some of the following statistical techniques (Gradient Boosting, Markov Chains, Neural Networks, Decision Trees, Random Forests, Support Vector Machines, Factor Analysis, Clustering, Linear & Logistic Regression, etc.)
• Demonstrated ability to find innovative solutions to tackle business problems

Responsibilities

• Team explore Big Data information in digital domain from multi source data of company
• Design and implement data models to explain in solving the specified problems using various techniques such as data mining, statistical modelling, and machine learning
• Provide insightful visualization and explanation of the results as well as recommend the next course of actions to decision makers and other functional groups
• Experience in team business intelligence
• Know technical evaluate data model. Assist to explain how to use model data to other team provide and recommendations for improvement
• Part of team Implement solutions
• Work closely with business users in identifying business problems and use cases which can be resolved by data science techniques

Qualifications

• Bachelor or Master Degree, Statistic, Computer Science, Computer Engineering field
• 0-5+ years’ experience in Business Intelligence or Business Analyst
• Strategic thinking and analytical skills
• has skill presentation and communication skills
• Scripting experience in (R, JavaScript or Python preferred)
• Strong SQL
• experience with data in various forms (unstructured data, PySpark,zeppelin)

Location  :  Head Office (Pearl Bangkok)

Responsibilities

• Develops and executes statistical analyses to meet business objectives and goals which include but not limited to cross-sell, up-sell, decision-tree, next-best-offer analyses, predictive underwriting (involved risk scoring), fraud/abuse claim detection, and customer/agent segmentations.
• Perform the data processing of the pre-modeling/pre-scoring data preparation.
• Develop models employing appropriate statistical and machine-learning techniques/methods such as Multivariate Regression, GLMs, clustering, decision-trees, random forest etc. using baseSAS, SAS Enterprise Miner, or Python under the supervision of a senior data scientist.
• Provide results of analyses.
• Maintain and enhance insight and campaign data marts used for statistical modeling.
• Capture analytical requirements that the current information from source systems do not support in order to provide additional business inputs to the Enterprise Data Warehouse project after enterprise data warehouse go-lives as well as implement the solution.

Qualifications

• Master’s degree in Statistics, Decision Science, Mathematics, Computer Science, Computer Engineering or related field is preferred
• Coding skills in SAS software (BaseSAS, SAS/STAT, and SAS macro coding) or Python is a must
• At least 2-3 years of work experience in statistical modeling with knowledge of different kinds of regression, Chi-Square Test, T-Test
• Proficient in English and Thai: Reading, Writing, Conversing
• Strong statistical background and analytical skills
• SQL query skill on any kind of database is preferred

TMB is looking for a Data Scientist, Modelling Expert

 TMB Bank Public Company Limited

Passionate about your field of work: Data Science and Modelling? Following key developments in the Data Science area? Experimenting with new algorithms, packages and tools? Make the Difference! 

Is that you? Please read further:

• Your willingness to learn not only shows in the technical area, but also how you develop your interpersonal skills. As a creative and curious Data Scientist and Modelling Expert, you’re looking forward to solve a wide variety of real-world business problems. From your thorough understanding of the latest algorithms and tooling, you’re able to see how TMB can Make THE Difference by using Big Data. You have the programming skills to realize your ideas.
• You are experienced in the approach to transform data to added value for customers. You’re always thinking one step ahead, minding the best way of implementation. You are able to look at things from many different perspectives and are entrepreneurial to make original solutions work in real-life.  Next to creative, you are also persistent. If the problem is hard to crack or a technical solution hard to get to work, you keep trying different approaches until it does work.
•  You have solid communication skills that enable you to work together with many different parties throughout our organization. Your enthusiasm and passion is contagious, mobilizing people to capture the tremendous value that Data Science brings to customers of TMB.
•  You like working in cross-functional teams to realize an ambitious goal. Asking for help to the other top Data Scientists in the team, but also helping them out by sharing your knowledge and capabilities with them. When needed, you are able and willing to guide junior Data Scientists and interns in their work.

We only hire people with exceptional talents and capabilities!

As a Data Scientist, you have a deep understanding and experience with:

• Machine Learning: Classification, Regression, Clustering, Association Rules, Text Mining. You have an excellent understanding of Random Forests, Neural Networks, Logistic Regression, SVM, KNN, K-Means, LDA, etc.
• Programming Languages: SAS, Python, R
• Tools: SAS, Spark, Hadoop (ecosystem)
• Database handling: SAS, SQL. Familiar with Oracle, Graph databases

Your background:

• University degree with excellent academic results in the field of Computer Science and/or Mathematics/Statistics/Econometrics/Finance/Risk
• 5 years’ experience in the Predictive Analytics work field
• Fluent in written and spoken English
• Experience in working in an Agile way

Competencies and skills:

• Analytical and content strength (in DS work field): sees which DS techniques apply to the business problem at hand, able to structure the approach and a good programmer
• Willingness to learn: open to feedback, develops on the technical and the interpersonal level
• Team player: strikes effective balance between independence and acting in the interest of the team
• Perseverance: doesn’t give up when a problem is hard, knows how to deal with set-backs
• Strong communication skills: written and spoken English need to be convincing
• Entrepreneurial: takes up responsibility and makes it happen
• Creative: thinks out of the box
• Enthusiasm: has contagious level of enthusiasm to inspire others to act, based on self-example

Responsibilities:

• The Data Scientist works in the team of Risk Advanced Analytics (COE) and takes part in various risk challenges ranging through the whole customer journey.
• Develop, monitor and implement Bank’s credit risk models (bank-wide) to achieve the risk strategy of the bank and to make a better customer experience.
• Strengthen the risk/reward culture within the bank by modelling risk decisioning algorithms that are the heart of a profitable, productive and competitive lending journey.
• Measure and monitor the Key Risk Measurements (Risk Appetite Statement, IBNR Provisioning, Economic Capital, Stress Testing and Concentration Risk) translating numbers into proactive proposals and present these concepts to the senior management.
• Develop portfolio monitoring system such as Early Warning System, Pre-approvals, and Portfolio Segmentation etc. to improve portfolio quality and to build the risk building blocks of digital lending.
• Develop analytical base tables by acquiring new data, torture, manipulate and massage data into comprehensive risk features

Position Purpose:
- Be the strategic partner with all distribution channels to strategic planning and revenue generation through the data analytics
- Develop FWD capability on customer analytics using advanced statistical technique to
    - improve customer understanding and insight 
    - identify customer need
    - define present and estimate future value
    - derive business action to retain, uplift sales, and improve customer loyalty

Key Responsibilities:
Strategy
 - Set up strategy and lead the implementation of data analytics solution to support  the company strategy to be data driven decision organization.
Business Partnership
 - Be strategic partner with business partners (i.e. TMB, CP) and distribution channels leads and t to identify business opportunity and strengthen customer relationship through data analytics
Customer Data Analytics
 - Makes strategic recommendations for data collection, integration, data modeling technique
 - Develop FWD capability on customer analytics using advanced statistical technique to..
    - improve customer understanding and insight,
    - identify customer need,
    - define present and estimate future value, and
    - derive business action to retain, uplift sales, and improve customer loyalty.
 - Lead the design of customer analytics data platform, data acquisition and management.
 - Makes strategic recommendations on data collection, integration and retention requirements incorporating business requirements and use advanced predictive modeling to address business questions
 - Conduct and guide the subordinates to perform data discovery, data transformation,  and build the optimal models using the most suitable techniques
 - Present summary of analyses and convince related business stakeholders
Work closely with IT and source systems data owner to set up / revise process to acquire needed data and to utilize the data platform built.
Advise business partner and internal business leaders (Marketing, Digital Marketing, Sales, etc.) for business action by turning analysis insight into business execution to improve sales, and customer profitability
Team Management
 - Manage the data scientist team to design customer analytics data platform, data acquisition and management improve customer insight analytics capability

Qualifications:

 - At least 7 years' experience in data-driven analytics/Machine Learning using tools such as SPSS, SAS, or other mining / visualization tools.
 - Experience working directly with customers in a collaborative manner.
 - Statistics Modeling Skill: linear regression, logistic regression, decision tree, neural network, random forest,  k-means, ARMA, association rule.
 - Be able to clearly interpreting analytics result and lead to the business execution
 - Excellent verbal and written communication skills both Thai and English.
 - Experience with insurance data and familiarity with analysis methods applied to insurance data is preferred.

Job description:

รับผิดชอบงานด้านการวิเคราะห์ข้อมูลเชิงลึกของฝ่ายบริการราคาฯ การพัฒนาระบบ Automation Intelligence (AI) และ Machine Learning  สำหรับการประเมินมูลค่ายุติธรรมตราสารหนี้ รวมถึงการพัฒนานวตกรรมใหม่ที่เป็นประโยชน์ต่อการพัฒนาตลาดตราสารหนี้ไทย

Job Responsibilities:

• พัฒนา Deep Learning/ Machine Learning Algorithm ที่เป็นประโยชน์ต่อการพัฒนาตลาดตราสารหนี้
• พัฒนาวิศวกรรมซอฟแวร์ (Software Engineering) ในการบริหารจัดการข้อมูลที่เป็น Big Data ของตลาดตราสารหนี้
• ออกแบบและนำเสนอแบบจำลองของข้อมูล (Visualization) เพื่ออธิบายข้อมูลและเสนอแนวทางเพื่อช่วยในการตัดสินใจ
• สามารถแก้ไข ปรับปรุงประสิทธิภาพโมเดล หรือ Algorithm ที่มีอยู่เดิม ให้มีประสิทธิภาพมากยิ่งขึ้น
• ศึกษาและค้นคว้าวิจัยเชิงปริมาณเพื่อเผยแพร่ข้อมูลที่เป็นประโยชน์ต่อการพัฒนาตลาดการเงินไทย
• ทำงานร่วมกับผู้ที่เกี่ยวข้องในการพัฒนาเครื่องมือ/แบบจำลอง เทคโนโลยีสารสนเทศใหม่ๆ เพื่อรองรับการพัฒนาตลาดตราสารหนี้

Qualification:

• ปริญญาตรี-ปริญญาโท-ปริญญาเอก สาขาวิทยาศาตร์คอมพิวเตอร์ วิศวกรรมคอมพิวเตอร์  สถิติ เทคโนโลยีสารสนเทศ หรือสาขาวิชาอื่นที่เกี่ยวข้อง
• ประสบการณ์อย่างน้อย 1 – 4 ปี ด้านวิทยาศาสตร์สารสนเทศคอมพิวเตอร์และการเงิน
• สามารถบริหารจัดการระบบฐานข้อมูล (Data Base Management) และพัฒนาแบบจำลองการวิเคราะห์ข้อมูลขั้นสูงเพื่อใช้ในการบริหารจัดการของสมาคมฯ
• มีทักษะในการใช้คอมพิวเตอร์เป็นอย่างดี สามารถเขียนสูตรขั้นสูงได้ และสามารถใช้โปรแกรม Python, R, SQL
• มีทักษะการพัฒนา Algorithm สำหรับ Automation Intelligence (AI), Machine Learning (clustering, decision tree learning, artificial neural networks, etc.) และ Deep Learning
• มีทักษะขั้นสูงในการพัฒนาแบบจำลองทางสถิติ  (Regression, properties of distributions, statistical tests and proper usage, etc.)
• มีทักษะการสื่อสารดี สามารถอ่าน พูด เขียน สื่อสารภาษาอังกฤษได้

สวัสดิการ :

• กองทุนสำรองเลี้ยงชีพ
• ประกันสุขภาพ + ทันตกรรม
• ประกันอุบัติิเหตุ
• ประกันสังคม
• ค่ารักษาพยาบาลครอบครัว
• ทุนการศึกษา
• ตรวจสุขภาพประจำปี
• ค่าตำแหน่ง + ค่าพาหนะ + ค่าเบี้ยเลี้ยง+ ค่าล่วงเวลา
• โบนัสประจำปี
• วันหยุดพักผ่อนประจำปี10-20 วัน
• สมาชิก Fitness
• Staff Party  , Outing
• ค่าเครื่องแบบ
• ค่าคลอดบุตร
• ค่ากิจกรรมนันทนาการ
• สหกรณ์ออมทรัพย์ 

ผู้สมัครสนใจสามารถติดต่อได้ที่:
สมาคมตลาดตราสารหนี้ไทย
900 อาคารต้นสน ชั้น 10 ถนนเพลินจิต แขวงลุมพินี เขตปทุมวัน กรุงเทพฯ  10330
โทร: 02-257-0357 ต่อ 255,251   แฟกซ์: 02-257-0355 

http://www.thaibma.or.th 

www.facebook.com/fbthaibma , www.twitter.com/thaibma

Role Description

SCB’s services include deposits, home loans, personal credit, car hire purchase, credit cards, ATM cards, as well as investment and insurance products. For corporate and SME customers, SCB offers cash management, lending, trade financing, treasury products, debt and capital market products and other services. Our business generates more than 250 million transactions per month. SCB EASY is one of the most widely used financial services apps in Thailand with more than 10 million users.

As Data Scientist, you will join a group of super smart people working passionately to leverage this wealth of data to improve our customer experience and business results.

What you will do

• Use modern data tools (Hadoop, Spark, SQL, Azure) to analyze billions of transaction records
• Work with both structured and unstructured data to discover useful trends
• Work closely with business users in identifying business problems and use cases which can be resolved by data science techniques
• End-to-end process from developing machine learning models to testing, validation, and deployment for you by our 15+ million customers
• Provide insightful visualization, explanation, and recommend the next course of actions to decision makers and other functional groups
• Apply deep learning techniques to text, voice, image, and video data to uncover insights and personalize our customer’s experience
• Constantly keep up with open source tools for data analytics

Basic Qualifications

• Technical degree including Science, Statistics, Mathematics, Technology, Operation Research, Computer Engineering, Computer Science
• Have an inquisitive mind and comfortable with data, big or small
• At least 4 year of experience in using Python or R for data analysis
• At least 4 year of experience in using relational databases, able to extract, clean, transform, and interrogate data
• Understanding of modern machine learning techniques and their mathematical underpinning, such as classification, recommendation systems and natural language processing
• Strong in communication both written and spoken and presentation skills

Additional Qualifications

• Relevant Master’s Degree plus 4-5 year of experience in data scientist role, or PhD with history of publication in relevant fields is a plus
• Experience in leading projects to deliver complex data management solutions is a plus
• Experience in tailoring machine learning solutions to business problems is a plus
• Experience with cloud solutions for data analytics and machine learning is a plus
• Experience in deployment of machine learning solutions, DevOps, or full stack development is a plus

One of the reputable Pharmaceutical company in PReMA group are seeking a highly self motivated and market driven Data Scientist who specializes has experience in data management projects which involve scientific programming, model building, and analysis.

Responsibilities

• Collaborating with the internal stakeholders to understand business and set the derection of business goal
• Collaborate with regional company resources to operate and deliver on key projects
• Be the part of a project team provide end-to-end delivery of small to large projects individually, within timelines and budget
• Defining detailed methodology and scope, creating and operating on framework with suitable data mining techniques
• Extract operational insights from the data and generate results that clearly communicate the findings a nad recommendations
• Active search for new innovation through the use of non-traditional data and new modeling techniques
• Oversee deployment and implementation of analytical approaches and track the effect of business value
• Develop business-related strategies and recommendations for testing and monitoring analytical model performance

Qualifications

• Minimum 3 to 7 years of analytical experience in applying statistical approaches to business problems
• Experiencing with one or more data analytics/programming tools like SAS, Saleforce SPM, Hadoop, R, SQL, Python, Hive
• Demonstrated experience in the planning, organizing, and management of multiple analytical projects with various cross-functional stakeholders
• Proficiency in some of the following statistical techniques (Gradient Boosting, Markov Chains, Neural Networks, Decision Trees, Random Forests, Support Vector Machines, Factor Analysis, Clustering, Linear & Logistic Regression, etc.)
• Demonstrated ability to find innovative solutions to tackle business problems

Job Description:

• Use data assets to gain insights into current processes and models.
• Cleanses and prepares data for modeling and analysis.
• Uses the correct data mining approach to solve business problems.
• Appropriately evaluates model results and iterates as necessary.
• Consults on internal database(s) in collaboration with business partners (e.g., IT, Marketing) to ensure data quality.
• Efficiently and accurately produces data reports, visualizations, and insights to meet the needs of business partners.

Skills Required

• Male / Female aged between 24-35 years old.
• Thai nationality.
• Bachelor's Degree or higher in Computer Science, Information Technology, e.g. Mathematics, Statistics, Operations Research or any related field.
• 1-2 years of related work and/or research experience in a quantitative role.
• Knowledge of machine learning and big data analytics.
• Technical Skills : SQL, Python (Pandas, Numpy, Tensorflow, Keras)
• Having good attitude toward team working and willing to work hard.
• Self-motivate and initiative.

Responsibilities

• Understand business requirements and be able to convert into analytics tasks
• Perform data transformation from raw data to features/variables
• Explore and analyze data
• Able to select suitable machine learning algorithms to analyze data
• Create analytics models and adjust analytics model performance
• Work closely with stakeholders and team members such as Data Engineer, Developer and Business domains
• Able to present analytic results to business team in an easy understanding way.

Qualifications

• Bachelor degree in applied science, Data science, Com Science,  or related field
• Experienced in Data Analytics tools open source language e.g. Spark, Python, R and/ or other analytics tools and techniques.
• Eager to learn new technologies and business
• Knowledge of Statistics
• Strong analytic and problem-solving skills
• A good team player
• New grad is welcome 

บริษัท บลูบิค กรุ๊ป จำกัด

BLUEBIK GROUP COMPANY LIMITED

อาคารอารยะทรัพย์ ชั้น 1 เลขที่ 51 ถนนนราธิวาสราชนครินทร์ แขวงสีลม เขตบางรัก กรุงเทพฯ 10500

โทร. 66 (0) 2636 7011

Role & Responsibilities :

• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Extending company’s data with third party sources of information when needed
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Doing ad-hoc analysis and presenting results in a clear manner
• Creating automated anomaly detection systems and constant tracking of its performance

Qualifications :

• Bachelor Degree in Computer Science/Statistics/Math or Engineering
• Experience 3 years in related job.
• Own strong experience in the field of data analysis and working with data manipulation
• Solid understanding of relational database concepts with strong SQL skills for querying
• Strong Auditing, Analytical and Problem-Solving Skills
• Effective Communication and Negotiation skills
• Ability to work collaboratively and team-work attitude
• Ability to act autonomously, bringing structure and organization to work
• Detail Oriented
• Fluent English
• Understanding of data analytics and of research techniques
• Experience with development of data reports and visualization
• Effective communication, presentation, organization and planning skills.  Good interpersonal skills to work as a team member and as a liaison with customers.
• General knowledge of data transfer tools, Application server, database platforms, and report writing tools.
• Analytics or Data Science knowledge/experience is a plus

Job Description / Responsibilities:

• Apply advanced data science method to help business solving complex problems and making data-driven decisions.
• Develop and deploy machine learning algorithm in different applications in business to deliver great customer experiences and improve business productivity
• Discover actionable insights from all sources of data ranging from structured and unstructured, internal and external, customer behavioral data and business operational data
• Partner with Data Engineer and Architect team to design, develop, evaluate and deploy analytics platform infrastructure

Qualifications: Data Scientist (AVP-FAVP)

• Graduate Degree in Machine Learning, Statistics, Optimization or Applied Mathematics
• 7Yrs experience as Data Scientist and hands-on experience with advanced analytic tools and languages such as Python/R
• Proficient in AI/Machine Learning and data visualization
• Experience with Big Data System (Preferred)
• Strong skills in programming, problem solving and communication. 
• Digital banking/E-Commerce or relevant industry or research experience 
• Ability to apply theory into real business implication and being a good story teller.
• Passion to learn new things eg. new technology, new techniques and computer languages.
• Good attitude toward changes with forward looking mind-set.

Qualifications: Data Scientist Manager

• Degree in Machine Learning, Statistics, Optimization or Applied Mathematics
• 2Yrs experience as Data Scientist and hands-on experience with advanced analytic tools and languages such as Python/R
• Experience with Big Data System (a Plus)
• Strong skills in programming, problem solving and communication. 
• Digital banking/E-Commerce or relevant industry or research experience 
• Passion to learn new things eg. new technology, new techniques and computer languages.
• Good attitude and quick learner

Talent Acquisition Department 
Bank of Ayudhya Public Company Limited
1222 Rama III Rd.,Bangpongpang,Yannawa, Bangkok 10120
สอบถามข้อมูลเพิ่มเติม : Talent Acquisition Center (0) 2296 2000 Ext. 6206

Job Summary 

• Applying optimization techniques to improve all processes and operations at SCG Packaging. 70-80% of work will pertain to analysis, mathematical & simulation modeling, and computer programming. 
• The rest will be devoted to the implementation part in which a candidate will be required to work in the filed collaborating with other parties to ensure practical and successful optimization models.

Key Responsibilities

• Identify opportunities for improvement across SCG packaging through the use of actual data and optimization techniques.
• Develop and implement Operations Research Optimization models and software according to the predetermined opportunities.
• Follow up and refine the model by collaborating with related parties until achieving the target result.

Qualifications:

• Master or Ph.D. in Industrial Engineering, Operations Research, Computer Science, Computer Engineering with specialization in Optimization.
• Minimum 3 years of working experience in optimization.
• Linear/ Mixed-Integer/ Combination/ Non-Linear/ Dynamic/ Stochastic/ Robust Optimization.
• Proficient in English (TOEIC >800).
• Knowledge in Python/R Package for optimization.
• Knowledge about Simulation and Statistics will be advantageous. 
• Able to solve problems using heuristics algorithms.
• Able to work upcountry occasionally.

Location: Bangkok, BTS

Salary up to 100,000 THB with Benefits!

Company Summary:

Our client is a successful and fast-growing software company that provides technology solutions especially in customer experience and relationships. They are fast growing firm who have a mission to be a leader IT solution in Asia. They are focused on expanding more technology product development along with expanding more expert teams in different areas.

Are you a Data Scientist looking to challenge yourself with many new projects? If you have good skills in Python, R and experience with data insights from large data sets then this opportunity might be a good fit for you.

Responsibilities:

• Work closely with CTO to find opportunities to leverage company data and create business solutions.
• Develop data models and custom algorithms to apply to data sets.
• Analyze data from company databases to increase efficiency and improve product development, marketing and business strategies.
• Build forecasting models to enhance the customer experience, advertising target and other business results.
• Communicate with other parties and within the team to ensure the on-going projects are complete by timeline

Technical Skills and Qualifications:

• Bachelor’s or Master’s degree in Computer science, Information Technology Statistical or related field
• 3 + Years proven experience in Data Science and Data Analytics with proven experience with Python and R development languages
• Experienced in SQL querying and experienced working with and creating data architectures.
• Good interpersonal skills for coordinating across teams and good learner of new technologies and techniques.

If you are interested to work for a fast-growing company and looking for the next step in your career, then do not hesitate to apply or contact: K. Thankamon (Book) at Cathcart Associates on 02-038-5878 for further information.

Job Description

o    Able to gather, analyze and inside data (manufacturing, financial, banking, insurance, telecommunication and others), key performance indicators, and/or market data (competitors, products, suppliers), using a broad set of analytical tools and techniques to develop quantitative and qualitative business insights and improve decision-making

o    Responsible with data analysis by using advanced analytics approach, tools and techniques to find an insight into the data and statistics

o    Utilize the data analysis and data modelling to optimize effectiveness and efficiency

o    Collaborate closely with internal agencies (Data Engineer, Data Analyst, Domain Expert etc.) to achieve the most effective solution/ working process

o    Build up skill resource on analytic, predictive and optimization model

Qualification

o    Bachelor or Master's degree with emphasis on coursework of a quantitative nature (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences).

o    Proficient with Advanced Analytics Software is very desirable (MATLAB, SAS, SPSS, RapidMiner)

o    Strong analytic and problem-solving skills

o    Experience in Statistical Analysis: K-Mean, Support Vector Machine (SVM), Neural Network (NN), Random Forests, Bayesian Network, etc.

o    Experience in Machine learning / Deep learning: Supervised, Unsupervised learning, Reinforcement, etc.

o    Experience in Analytics Algorithms : Regression, Logistic Regression, Clustering, Classification, Time Series Analytics

o    Experience in Statistical software programming languages: Python, Scala, R.

o    Experience in Distributed framework: Hadoop, MapReduce etc.

o    Experience in Real-time data streaming: Kafka, Flume, Sqoop, Spark streaming, etc.

Your role

• You will develop analytical models to predict what customers will do next. Based on our unique data and your analytics skills,
• you will provide insights in customer behavior.
• You will build a holistic customer view with your team based on 100s of predictive variables: Who will buy a house soon? Who
• will not pay his loan in time or who will respond to a campaign offer if we give a discount?
• You will blow away our clients by modeling out who will visit their shop tomorrow, and who will go to the competitor’s.
• You will cherish the outcome of your work by closely monitoring performance of your models, and continuously improve them
• based on new insights and applying new techniques.
• You learned over time that creative data management is crucial in developing strong models. You will pragmatically enrich the data
  with external data or creatively derive interactions to further improve your models.
• You will be backed up with a strong team of data engineers to support you and automate those activities.

Your profile

• You have minimum 2 years of relevant experience, in which you have proven your skills and passion in advanced analytics. As you bring more experience, we will give you a more senior role in the team.
• You might know some GUI based statistical tools like IBM Modeler or SAS Enterprise Miner, but you are a strong believer in the power of developing statistical scripts. We will work on a Hadoop environment, so exposure to open source languages like Spark,
• Python or R are desirable. We value your ability to develop exceptional code, so any other statistical language, like SAS or Matlab, would further impress us.
• You are passionate about advanced analytics techniques: you show mastery in classical techniques like logistic regression, but also in
  machine learning techniques like random forests or support vector machines.
  
• You have a solid understanding of data models, and bring basic skills in SQL related languages.

Job Description

• Explore Big data information in digital domain from multi saver data of company.
• Design and Implement data models to explain in solving the specified problems using various techniques such as data mining, statistical.
• Work closely with business in identifying business problems and use cases which can be resolved by data science techniques.
• know technical evaluate data model Assist to explain how to use.
• Use model data to other team provide and recommendations for improvement.

Qualifications

• Male or Female, Thai nationality, age between 25-35.
• Bachelor or Master Degree of statistic, Applied Maths , Computer science.
• Experience in Business Intelligence or Business Analyst 1-3 year.
• Knowledge on DBMS, Scripting SQL.
• Strategic thinking and analytical skills.

Asia Cab Co., Ltd.

1 Charoenrat Road, Thung Wat Don, Sathon,

Responsibilities

• Collaborating with the in-country company stakeholders to understand the business problem and desired business outcome
• Collaborate with regional company resources to execute and deliver on key projects
• Defining detailed scope and methodology, creating and executing on the framework with appropriate data mining techniques
• End-to-end delivery of multiple small to large projects individually, or as part of a project team, within timelines and budget
• Extract actionable business insights from the data and build deliverables that clearly communicate the findings and recommendations
• Research industry metrics and business context and bring this context to bear in analyses
• Actively seek out opportunities to innovate by using non-traditional data and new modeling techniques
• Ensuring all project documentation is up to date and maintain the highest levels of quality in deliverables
• Enhancing existing analytic techniques by promoting new methodology and best practices in analytics field
• Oversee deployment and implementation of analytics solutions, and track business value impact
• Develop strategies and recommendations on testing and monitoring analytical model performance in the business context

Qualifications
Technical

• Minimum of 7 years of analytical experience in applying statistical solutions to business problems
• Post Graduate degree (Masters or Ph.D.) in Quantitative field such as Statistics, Mathematics, Computer Science, Economics, or equivalent experience preferred
• Hands on experience with one or more data analytics/programming tools such as SAS/Salford SPM/Hadoop/R/SQL/Python/Hive
• Proficiency in some of the following statistical techniques: Neural Networks, Gradient Boosting, Linear & Logistic Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Clustering, Principal Component Analysis, Factor analysis, etc
• Demonstrated experience in planning, organizing, and managing multiple analytic projects with diverse cross-functional stakeholders
• Demonstrated ability to innovate solutions to solve business problems

Business

• Results oriented with strong analytical and problem solving skills, with demonstrated intellectual and analytical rigor
• Good business acumen with strong ability to solve business problems through data driven quantitative methodologies. Experience in B2B sales and marketing, digital analytics is important
• Team oriented, collaborative, diplomatic, and flexible style, with the ability to tailor data driven results to various audience levels
• Detailed oriented, is expected to ensure highest level of quality/rigor in reports & data analysis
• Proven skills in translating analytics output to actionable recommendations, and delivery
• Experience in presenting ideas and analysis to stakeholders
• Exhibit intellectual curiosity and strive to continually learn

Argyll Scott Asia is acting as an Employment Agency in relation to this vacancy.

Major Responsibilities:

• Extract huge volumes of data from multiple sources; including DWH, Big Data Hadoop, Social unstructured data, etc.
• Employ sophisticated analytics programs and statistical methods to prepare data for use in predictive and prescriptive modeling
• Formulate hypotheses for testing and designing experiments to capture new data
• Explore and examine data from a variety of angles to determine hidden weaknesses, trends and/or opportunities
• Develop model and conduct analyses using tools which may include Oracle SQL, SAS, Python, R, MapReduce, Minitab, etc.
• Develop Machine Learning, Deep Learning, and AI algorithm to solve respective business cases and pain points.
• Communicate predictions and findings to management and other relevant teams through effective data visualizations, reports, and presentations
• Identify practical approach to test and learn key hypotheses to extend analytic insight.
• (For Senior Data Scientist) Design analytics strategy and roadmap for the company

 Qualifications:

• Bachelor / Master s’ degree in Business Administration, Economics, or Engineering with heavy concentration in statistics.  Quantitative-oriented MBA is desired.
• 2-5+ years of experience in data-driven decision making areas
• A rigorous understanding of the fundamentals of statistics applied to business challenges and microeconomics is required
• Familiarity with decision techniques including optimization, simulation, regression, decision trees, neural networks, cluster analysis, mixed models
• Strong proficiency in Excel, Oracle SQL, and Python, or other related coding languages and statistical tools
• Solid experience in traditional analytics, text analytics, voice analytics, Machine Learning, Deep learning, and AI
• Outstanding communication and presentation skills
• Strong business acumen; sound business-sense and judgment
• Excellent relationship management, strong team building, and the ability to work across business units and functions within complex organizations
• Background in Banking or Financial institution is a plus

Work Location: KSPT Building, BTS Ploenchit, Bangkok

Good remuneration package will be rewarded and also excellent future career growth opportunity is available for the right candidate

Please submit your application letter, resume stating qualifications and experiences, stating recent & expected salary to the following address:

Human Resources Department
Krungsri Consumer
17 Fl., Krungsri Ploenchit Tower

550 Ploenchit Rd., Lumpini,
Pathumwan, Bangkok 10330

Contact person: Jiranan
Contact number: 02-627-4705

Job Purpose:

Data Scientist is responsible for supporting Cigna business with insights gained from analyzing data from both internal and external by leveraging large data sets to find opportunities for health product, health services and solutions, and process optimization whilst using models to test effectiveness of different courses of action. The job holder must have strong experience using variety of data mining/data analysis methods, using variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. He/she must have a proven record to drive business results with their database insights. He/she also must comfortable working with a wide range of stakeholders and functional team, as well as having a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Role & Responsibilities:  

Framing Business and Analytics Problems

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

Selecting Data and Methodology

• Assess the effectiveness and accuracy of new data sources and data gathering techniques, as well as resolve data issues and remove blockers.
• Participate in various testing activities related to data and tools
• Gather and share knowledge and expertise on relevant data sources and their evolution in Cigna's ecosystem
• Lead in designing and developing data quality reports
• Interpret analysis results and data report to produce savvy insights for business partners and clients 
• Assess results of data investigation and convert them into possible opportunities analysis/innovation scenarios

Building, Deploying, and Managing Models

• Evaluate the existing infrastructure & processes to generate recommendations and solutions for improvement and produce action plans for system improvement
• Own two or more analytically driven products and be responsible for their roadmap development, implementation and monitor business impact
• Manage the design, development, and continuous improvement of complex healthcare data systems, tools, reports and other deliverables
• Design metadata requirements and manage models in production
• Mine and analyze data from company databases to drive optimization and improvement of health product and solutions development, and supporting health business strategies.
• Develop custom data models and algorithms to apply to data sets, and participate in various testing activities related to data and tools.
• Use predictive modeling to increase and optimize customer experiences, improve health outcomes for customer, revenue generation, and targeting any other business outcomes.
• Develop company A/B testing framework and test model quality.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• Deliver and monitor insights consumption in the business end

Qualifications:  

• Strong in presentation and communication skill both written and verbal in Thai and English
• Proven thought leadership on challenging problems with examples of implementing innovative Predictive Models, Customer Algorithms, implementing innovative analytic solutions , or driving outstanding results
• Strong problem solving skills with an emphasis on product and solution development.
• Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
• Experience working with and creating data architectures.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.
• 5+ years of experience manipulating data sets and building statistical models
• Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the minimum two or more experiences in following software/tools:

Responsibilities:

• Managing the implementation and maintenance of the company’s in-house valuation and risk engine.
• Transforming data treatments of raw data from the database into usable clean and formatted data sets.
• Performing data transformations to extract useful information out of different data sources.
• Applying statistical analyzes on other computation methods to satisfy the business needs, based on data-driven measures and indicators.
• Coordinating the design and automation of the data visualization of outputs and analyzes.
• Managing the implementation of data science principles into an in-house pricing library tool.
  • Ensuring the performance of the algorithms used.
  • Ensuring the quality of the code produced.
  • Testing every new functionality.
• Respecting coding conventions and best practices.
• Documenting the methodologies and packages used.
• Performing ad-hoc data crunching and analysis specific to associated activity.

Technical Skills and Qualifications:

• BS/MS degree in Computer Science, Statistics, Mathematics, or a related field.
• 2-5 years of experience in a data science role.
• Must have coding experience in an object-oriented development language (Python or R or  C#, C++)
• Proficiency in the English language is mandatory.
• Must have analytic skills, be methodic, rigorous, and results-oriented.

Job Description

• Gather, analyze and model client data (customers, financials, operational, organizational, access channel), key performance indicators, and/or market data (competitors, products, suppliers), using a broad set of analytical tools and techniques to develop quantitative and qualitative business insights and improve decision-making.

A professional at this position level within Accenture has the following responsibilities:

• Is a self-starter and is able to gather, analyze and model client data (customers, financials, operational, organizational, access channel), key performance indicators, and/or market data (competitors, products, suppliers), using a broad set of analytical tools and techniques to develop quantitative and qualitative business insights and improve decision-making
• Adapts existing methods and procedures to create possible alternative solutions to moderately complex problems.
• Understands the strategic direction set by senior management as it relates to team goals.
• Approaches problems in a systematic way and is able to work collaboratively with other team members from different disciplines and backgrounds to achieve the desired outcome.
• Primary upward interaction is with direct supervisor. Required to interact with peers and/or management levels at a client and/or within Accenture, with confidence and professionalism.
• Manages small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture.

Qualifications

• Bachelor or/Higher degrees in related fields
• At least 5 years in Analytics experience in consulting firms
• Proficiency in Python/ R/ MATLAB/ SAS/ Machine Learning and/or other analytics tools and techniques.
• Experience in end-to-end advance analytics implementation project is advantage.
• Proven ability to apply analytical and creative thinking to problem-solve.
• Proven ability to deliver high profile activities in tight timescales
• Proven success in contributing to a team-oriented environment
• Ability to travel when required
• Excellent communication in Thai/English (written and oral)

Job Description / Responsibilities:

• Apply advanced data science method to help business solving complex problems and making data-driven decisions.
• Develop and deploy machine learning algorithm in different applications in business to deliver great customer experiences and improve business productivity
• Discover actionable insights from all sources of data ranging from structured and unstructured, internal and external, customer behavioral data and business operational data
• Partner with Data Engineer and Architect team to design, develop, evaluate and deploy analytics platform infrastructure

Qualifications: Data Scientist (AVP-FAVP)

• Graduate Degree in Machine Learning, Statistics, Optimization or Applied Mathematics
• 7Yrs experience as Data Scientist and hands-on experience with advanced analytic tools and languages such as Python/R
• Proficient in AI/Machine Learning and data visualization
• Experience with Big Data System (Preferred)
• Strong skills in programming, problem solving and communication. 
• Digital banking/E-Commerce or relevant industry or research experience 
• Ability to apply theory into real business implication and being a good story teller.
• Passion to learn new things eg. new technology, new techniques and computer languages.
• Good attitude toward changes with forward looking mind-set.

Qualifications: Data Scientist Manager

• Degree in Machine Learning, Statistics, Optimization or Applied Mathematics
• 2Yrs experience as Data Scientist and hands-on experience with advanced analytic tools and languages such as Python/R
• Experience with Big Data System (a Plus)
• Strong skills in programming, problem solving and communication. 
• Digital banking/E-Commerce or relevant industry or research experience 
• Passion to learn new things eg. new technology, new techniques and computer languages.
• Good attitude and quick learner

Stay connected with KRUNGRI CAREER at:

• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer)
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer)
• LINKEDIN: Krungsri (http://bit.ly/LinkedinKrungsri)

Talent Acquisition Department 
Bank of Ayudhya Public Company Limited
1222 Rama III Rd.,Bangpongpang,Yannawa, Bangkok 10120
สอบถามข้อมูลเพิ่มเติม : Talent Acquisition Center (0) 2296 4869

Responsibilities:

• Develop analytics models to extract key insights to support business operation and drive business growth
• Identify business opportunities or threats from data analysis
• Advise business users about data collection and tell a story with data and insights

Qualification:

• Degree in statistics, computer engineering, computer science, information systems, or any related field
• Critical thinking and strong in research methodology
• Understand concepts of data analytics, statistics and machine learning
• Apply concepts of analytics to business cases - Experience with data analysis languages such as SQL, R, or Python
• Good communication skills in English

Position for :  Business Intelligence Department (BI)

 หน้าที่และความรับผิดชอบ :

•  มีความรู้ และความเข้าใจเบื้องต้นในการดำเนินงานทางธุรกิจของกลุ่ม PTG group
• จัดทำรายงานประเภทต่างๆ (Ad-hoc & Timely Reports)
• นำเสนอผลการวิเคราะห์แก่ผู้บังคับบัญชา
• ตรวจสอบ และรายงานความก้าวหน้าการทำงานกับผู้บังคับบัญชา
• เรียนรู้เทคนิค และช่วยทีมงานบำรุงรักษาระบบสารสนเทศที่ให้บริการ
• สร้างรายงานการวิเคราะห์โดยใช้เครื่องมือในการออกแบบรายงาน
• นำเสนอผลการวิเคราะห์แก่ผู้บังคับบัญชาและหน่วยงานที่รับผิดชอบ

 คุณสมบัติ :

•  เพศหญิง/ชาย อายุ 22-24 ปี
• จบการศึกษาระดับปริญญาตรี เทคโนโลยีสารสนเทศ หรือสาขาอื่นๆที่เกี่ยวข้อง
• มีประสบการณ์การทำงาน 0-4 ปีขึ้นไป
• ยินดีรับนักศึกษาจบใหม่
•  มีความรู้พื้นฐานทางสถิติ สำหรับการวิเคราะห์ข้อมูล
• มีความรู้เกี่ยวกับ Big data with Hadoop

PTG Energy Public Company Limited

 90 CW Tower, Tower A,

 33rd Floor, Ratchadaphisek Road,

 Huaykwang, Bangkok  10310

 Tel: 02-168-3377, 02-168-3388 ต่อ 747

www.ptgenergy.co.th

You will be a part of Big Data team of 3BB to provide business and customer data analyst.

Role Responsibilities:

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Develop Machine Learning, Deep Learning, and AI algorithm to solve respective business cases and pain points.
• Communicate predictions and findings to management and other relevant teams through effective data visualizations, reports, and presentations
• Analyze customer-level data by applying data-mining techniques to better understand customers’ underlying needs and behavior and extract customer insights
• Apply descriptive and predictive modeling techniques to extend the right offer for targeted campaign to enhance customer experience
• Design and conduct analysis to support product & channel improvement and development
• Present key findings and recommendations to business counter parties and senior management on customer relationship management approach and strategic planning

Qualifications:

• Thai Nationality
• Bachelor degree or higher in Computer Science, Computer Engineering, Information Technology, Management Information System or an IT related field.
• Experience in SQL and Python (Pandas, Numpy)
• Knowledge in BigData Technologies like Hadoop, Apache Spark
• Knowledge in machine learning and deep learning (Tensorflow, Keras, Scikit-learn)
• Knowledge of Statistics
• Experience in Data Visualisation (Tableau) is a plus
• Eager to learn new technologies
• New gradudate also welcome

Location : Jasmine International Tower, Cheangwattana Road, Pakkred.

Responsibilities

• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Extending company’s data with third party sources of information when needed
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Doing ad-hoc analysis and presenting results in a clear manner
• Creating automated anomaly detection systems and constant tracking of its performance
  

 Qualification :

• Bachelor Degree in Computer Science/Statistics/Math or Engineering
• Experience 3 years in related job.
• Own strong experience in the field of data analysis and working with data manipulation
• Solid understanding of relational database concepts with strong SQL skills for querying
• Strong Auditing, Analytical and Problem-Solving Skills
• Effective Communication and Negotiation skills
• Ability to work collaboratively and team-work attitude
• Ability to act autonomously, bringing structure and organization to work
• Detail Oriented
• Fluent English
• Understanding of data analytics and of research techniques
• Experience with development of data reports and visualization
• Effective communication, presentation, organization and planning skills.  Good interpersonal skills to work as a team member and as a liaison with customers.
• General knowledge of data transfer tools, Application server, database platforms, and report writing tools.
• Analytics or Data Science knowledge/experience is a plus

Work location: Near BTS Phunnawithi and BTS BangChark

Job Roles:

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.

Qualification

• Male/Female, Age not over 35 years old.
• Bachelor or Master’s degree in St Statistics, Mathematics, Computer Science and Computer Engineering.
• Strong problem solving skills with an emphasis on product development.
• Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
• Experience working with and creating data architectures.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.
• Experience 3-7 years  in manipulating data sets and building statistical models.
• Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
• Knowledge and experience in statistical and data techniques
• Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.

• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

Salary Benefit : 50,000 - 100,000 THB (Negotiable)

Contact for Questions:

Line: @hrchococrm

http://www.chococard.co.th/

Data Science Lead

Responsibilities

• Collaborating with the in-country COMPANY stakeholders to understand the business problem and desired business outcome
• Collaborate with regional COMPANY resources to execute and deliver on key projects
• Defining detailed scope and methodology, creating and executing on the framework with appropriate data mining techniques
• End-to-end delivery of multiple small to large projects individually, or as part of a project team, within timelines and budget
• Extract actionable business insights from the data and build deliverables that clearly communicate the findings and recommendations
• Research industry metrics and business context and bring this context to bear in analyses
• Actively seek out opportunities to innovate by using non-traditional data and new modeling techniques
• Ensuring all project documentation is up to date and maintain the highest levels of quality in deliverables
• Enhancing existing analytic techniques by promoting new methodology and best practices in analytics field
• Oversee deployment and implementation of analytics solutions, and track business value impact
• Develop strategies and recommendations on testing and monitoring analytical model performance in the business context

Qualifications

Technical

• Minimum of 7 years of analytical experience in applying statistical solutions to business problems 
• Post Graduate degree (Masters or Ph.D.) in Quantitative field such as Statistics, Mathematics, Computer Science, Economics, or equivalent experience preferred 
• Hands on experience with one or more data analytics/programming tools such as SAS/Salford SPM/Hadoop/R/SQL/Python/Hive 
• Proficiency in some of the following statistical techniques: Neural Networks, Gradient Boosting, Linear & Logistic Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Clustering, Principal Component Analysis, Factor analysis, etc 
• Demonstrated experience in planning, organizing, and managing multiple analytic projects with diverse cross-functional stakeholders
• Demonstrated ability to innovate solutions to solve business problems

Business

• Results oriented with strong analytical and problem solving skills, with demonstrated intellectual and analytical rigor 
• Good business acumen with strong ability to solve business problems through data driven quantitative methodologies. Experience in B2B sales and marketing, digital analytics is important
• Team oriented, collaborative, diplomatic, and flexible style, with the ability to tailor data driven results to various audience levels
• Detailed oriented, is expected to ensure highest level of quality/rigor in reports & data analysis
• Proven skills in translating analytics output to actionable recommendations, and delivery
• Experience in presenting ideas and analysis to stakeholders
• Exhibit intellectual curiosity and strive to continually learn

Interested candidate, please send your resume in English (Word format only) along with your recent photo and expected salary to us by click apply now button

Please contact : K. Jeab  Tel: 064 - 978 - 7824 / 062 - 651 - 6364 

Other vacancies, please visit: Page: https://z2l.ink/g3yYa8q

U&Us Recruitment Co., Ltd.

320 Ratchaphruek Road, Bangwag,

Pasricharoen, Bangkok 10160 

 "Always Partner"